Sep 2022 – Dec 2023 · 1 yr 3 mos

• Traveled and pursued personal projects:
• Developed PetPilot - an innovative pet-centric application dedicated to assisting pet owners in discovering pet-friendly locations, accessing exclusive pet deals, and fostering a vibrant pet owner community through its social networking platform. https://www.petpilotapp.com/
• Established CurieCraft - a pioneering platform designed to serve as a collaborative partner for architects, facilitating the creation of optimal and environmentally sustainable buildings.
• https://curiecraft.ai/
• Developed and Integrated a working demo to serve as a copilot to help answer regulations regarding construction and designing: https://demo.curiecraft.ai/

Nov 2021 – Aug 2022 · 9 mos

• Designed and implemented Paypal integration with core product (e.g. logins, payments, and cancellations).
• Paypal support increased client acquisition by 80% and increased customer usage by 30%.
• Developed and automated core data retrieval service from third party services. Processed and maintained data integrity for critical stakeholders (e.g. clients and business team). Previously, data retrieval initiation was manually done daily — increasing potential for loss / repeat data and increased dev overhead workflow.
• Lead designer and sole developer handling security of cloud services using AWS technologies (e.g. Secrets Manager, lambdas, and Parameter Store).

Mar 2020 – Nov 2021 · 1 yr 8 mos

• Search Science & Artificial Intelligence - Amazon, Palo Alto, CA
• Designed and implemented full support of Pytorch models into inferencing infrastructures using ONNX.
• Previously, all infrastructures supported only Tensorflow models. This allowed scientists to test different ML models and decreased scientists' workflow by 20% — having to previously convert Pytorch models to Tensorflow supported models for inferencing.
• Implemented ease-of-use profiling library allowing scientists ability to efficiently benchmark different frameworks (e.g. Triton, ONNX, Pytorch, and Tensorflow) before development — saving scientists week's worth of benchmarking time.
• Designed distributed data service for Pytorch similar to Tensorflow's distributed inference that increases GPU utilization, decreasing turnaround time.
• Designed and implemented support for scientists to visualize and track their model's experiments using ML Flow and SageMaker Experiments.

Mar 2017 – Mar 2020 · 3 yrs

• Alexa Calendar & Email Domain
• Designed, implemented, and led team of 5 engineers in migration effort to new framework, which allowed Alexa to be supported on 2nd and 3rd party devices.
• Designed and implemented multiple new workflows that increased Calendar usage by 50% and increased acquisition rate by 20%.
• Improved developer workflows by designing and implementing substantial code refactor that decreased time of deployment by 10% and by replacing manual interventions with automated scripts reducing dev hours from 8 to 1.
• Implemented new service that handles approximately 1000 requests per second.

Sep 2019 – Jun 2022 · 2 yrs 9 mos · Palo Alto, California, United States · On-site

• Department Of Radiology
• Researched as primary investigator on applying computer vision to specific medical images to help delineate tumors from organs.
• Advised multiple lab members in improving workflow by providing them with industry software engineering strategies. For instance, suggested moving sensitive patient images by first using medical tools to anonymize patients and then moving these images to encrypted cloud storage. Previously, when researchers needed specific images, excel sheets and hard-drives would be used — causing day worth of delays.
• Publications / Conferences
• Ho T, Wang YR, Daldrup-Link H. "Artificial Intelligence for Bone Cancer Imaging." Bone Cancer, edited by Dominique Heymann, Elsevier, 2021.
• Ho T, "Artificial Intelligence for Bone Cancer Imaging." World Molecular Imaging Society Conference (WMIC), 7 October 2020, Virtual.

May 2016 – Aug 2016 · 3 mos · Cupertino, CA

• Full-Stack Developer on the Siri Team.
• Created a standalone internal tool to improve the workflow for Natural Language engineers. By using this tool, it decreases the number of bugs in the training and usage data before it goes to production.

Jan 2016 – Dec 2016 · 11 mos · Atlanta Metropolitan Area

• Serving as an Object Oriented Programming in Java and a Data Structures and Algorithms Tutor
• Currently has six students

May 2015 – Aug 2015 · 3 mos · San Jose, CA

• Automated Big R uninstall and install on clients' machines --- used as part of Ambari and Cloud migration.
• Tested System Machine Learning algorithms --- my partner and I together found over 50 defects before the next release.

Jan 2015 – May 2015 · 4 mos · Covington, GA

• Performed vitals and IV's to patients.
• Improved critical thinking skills in diagnosing patients based on symptoms.
• Learned to work in a fast-paced and stressful environment.

Jun 2014 – Jul 2014 · 1 mo · Greater Boston

• Developed a statistical model using R that analyzes thousands of patients' data.
• Researched on whether or not Medicaid had adverse or beneficial effects on certain subgroups by mapping out demographics using the R program.

Jun 2013 – Mar 2014 · 9 mos · Atlanta Metropolitan Area

• Assisted in coding a MatLab program that receives data from an eye-tracker system.
• Interpreted and analyzed the data to estimate whether a person has Alzheimer's.